Thursday, September 22, 2022, 4:00 pm — Videoconference / Virtual Event (see link below)
Abstract: Nuclear parton distribution functions (nPDFs) describe the structure of nuclei as composed of quarks and gluons. They are a key element in making predictions for collider experiments. Due to their non-perturbative nature, the extraction of nPDFs relies on a global analysis of multiple hard scattering processes, such as deep inelastic scattering (DIS), Drell-Yan (DY), lepton pair production and inclusive jet production. In this talk, we investigate the use of Markov Chain Monte Carlo methods as an alternative fitting procedure in order to infer the nPDFs from the available experimental data. Monte Carlo simulations are computationally costly. Therefore we have to optimize the evaluation speed of physical observables. Especially the prediction in the DIS sector has to be improved, since it makes up the bulk of the experimental data. Here we will focus on the treatment of heavy quark effects in the predictions.
Hosted by: Shohini Bhattacharya
18065 | INT/EXT | Events Calendar
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